CN113038259A - Lesson quality feedback method and system for internet education - Google Patents
Lesson quality feedback method and system for internet education Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
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- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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Abstract
The application provides a lesson quality feedback method and a lesson quality feedback system for internet education, wherein the method comprises the following steps: the electronic equipment collects a lesson-taking video and analyzes the lesson-taking video to determine the ages of the lesson-taking students; when the electronic equipment determines that the age belongs to a minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine the audio data of the student; the electronic equipment extracts a time domain oscillogram of the student audio data, and determines continuous audio data into the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The application relates to the technical field of internet, in particular to a lesson quality feedback method and system for internet education.
Background
Internet education is also called internet + education, that is, education for users is realized remotely through internet technology, and the education is multifaceted and can be training of courses and education of professional skills. In particular, during the period of control, when students cannot go to school on site for some reasons, internet education is particularly important.
The existing course of internet education can feed back the quality of the class, the existing feedback is only the feedback for teachers, namely the feedback of the class quality is carried out in a scoring mode, and the feedback of the class quality for students in class is not provided, which is especially important for the feedback of the class quality of minors.
Disclosure of Invention
The embodiment of the application provides a class quality feedback method for internet education and a related product, which can realize intelligent feedback of class quality of minors and improve user experience.
In a first aspect, an embodiment of the present application provides a method for feeding back class attendance quality of internet education, where the method is applied to an electronic device, and the method includes the following steps:
the electronic equipment collects a lesson-taking video and analyzes the lesson-taking video to determine the ages of the lesson-taking students;
when the electronic equipment determines that the age belongs to a minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine the audio data of the student;
the electronic equipment extracts a time domain oscillogram of the student audio data, and determines continuous audio data into the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
In a second aspect, there is provided an internet education class quality feedback system, the system comprising:
the acquisition unit is used for acquiring a class video;
the processing unit is used for analyzing the lesson-taking video to determine the ages of the lesson-taking students; when the age is determined to be minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine audio data of students; extracting a time domain oscillogram of the audio data of the student, and determining continuous audio data as the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
In a fourth aspect, a terminal for performing the method steps provided in the first aspect is provided
The embodiment of the application has the following beneficial effects:
according to the technical scheme, the audio data of the non-adult spoken language course are divided into the audio segments according to the audio data of the non-adult spoken language course, the audio segments are subjected to quality grading to obtain the grade of each audio segment, and the quality grade is determined.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an electronic device provided in the present application.
Fig. 2 is a flowchart illustrating a class quality feedback method for internet education according to the present invention.
Fig. 3 is a schematic structural diagram of a class quality feedback system for internet education according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 provides an electronic device, which may specifically include: the device comprises a processor, a memory, a camera and a display screen, wherein the components can be connected through a bus or in other ways, and the application is not limited to the specific way of the connection. In practical applications, the computer device may be specifically a smart phone, a personal computer, a server, a tablet computer, a smart television, and the like.
In practical application, according to different needs of internet education, the electronic device can be additionally provided with corresponding hardware devices, for example, for facilitating communication between a teacher and a student, audio acquisition devices (microphones) can be referred to, and for example, for facilitating watching by the student or the teacher, supplementary lighting devices (which can also be arranged outside the electronic device) can be additionally provided.
Internet education is here replaced by web lessons for convenience of explanation. For the web lesson, members who have lessons may have juveniles, and the quality feedback of the web lesson for the juveniles is a problem which is very concerned by parents of the juveniles, but the feedback of the existing web lessons is based on manual feedback, the information fed back by teachers of the web lesson may be inaccurate, and parents cannot stare children (the juveniles) in real time, so an objective (manual non-participation) class quality feedback mode is needed.
Referring to fig. 2, fig. 2 provides a lesson quality feedback method for internet education, which may be implemented in the electronic device shown in fig. 1, and which is shown in fig. 2 and includes the following steps:
step S201, the electronic equipment collects a lesson-taking video and analyzes the lesson-taking video to determine the ages of the students;
for example, the above-mentioned analysis of the lesson video to determine the age of the lesson student can be determined by artificial intelligence. The artificial intelligence mode can adopt the existing mode, so the description is not repeated.
Step S202, when the electronic equipment determines that the age belongs to a minor, identifying the content of the video in class to determine whether the video is a spoken course, if the video is determined to be the spoken course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine the audio data of the student;
for example, the determining whether the content of the above-mentioned lesson-identifying video is a spoken lesson may specifically include: the title of the course is subjected to semantic recognition to determine whether the course is a spoken course, and the semantic recognition mode can adopt apple siri, Baidu voice, voice recognition of science news, and the like.
S203, the electronic equipment extracts a time domain oscillogram of the student audio data, and determines continuous audio data as the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
According to the technical scheme, the audio data of the oral lessons of the minors are divided into the audio sections, the audio sections are subjected to quality grading to obtain the grade of each audio section, and the quality grade is determined.
For example, the method may further include: the quality grade is fed back to parents of minors. The feedback method may specifically include generating a quality level report, sending the report to a mailbox or a WeChat of a parent of the minor, and the like.
For example, the extracting, by the electronic device, the time-domain waveform diagram of the student audio data may specifically include:
the electronic equipment acquires the volume value and the corresponding time of the audio of the video in class and establishes a time domain oscillogram of the volume and the time.
For example, the determining the continuous audio data as the same audio segment according to the time-domain waveform diagram to obtain multiple audio segments may specifically include:
extracting a part of waveform map with a volume value (for example, more than 50 decibels) larger than a set volume value in the time domain waveform map, acquiring n wave peaks in the part of waveform map, calculating the time difference between the adjacent first wave peak and the second wave peak to obtain a time difference, if the time difference is lower than a first time threshold, determining that the audio data between the adjacent wave peaks corresponding to the time difference is the same audio segment, if the time difference is larger than the first time threshold, determining that the audio data between the adjacent wave peaks corresponding to the time difference is two audio segments, and traversing the n wave peaks to obtain a plurality of audio segments.
For example, the quality scoring operation may specifically include:
counting the number of peaks of the audio band, if the number is less than 3, determining the score of the audio band according to the mapping relation between the volume value and the volume and the score value, if the number is not less than 3 (more than or equal to 3), calculating the time difference between adjacent peaks to obtain a plurality of time differences, calculating the variance of the time differences to obtain a variance value, obtaining a numerical value corresponding to the variance value according to the mapping relation between the variance and the score value, and determining the numerical value as the score of the audio band.
Through statistics of big audio data, it can be found that if the number of the peaks is smaller, the score value is directly determined according to the volume, at this time, in class, the sound is big, which generally represents that class quality is good, for example, "yes", which generally is a word or a word, and if the number of the peaks is larger, the fluency is more important, for example, there is a sentence, "I' ma good man", in which case the fluency is represented by a smaller variance of the time difference between the peaks, that is, the sound is more stable, so that the score is performed by the variance value between the peaks, which can represent the corresponding class quality.
The mapping relationship between the volume and the score value may be a preset first mapping relationship, and may be obtained by counting historical data, and the mapping relationship between the variance and the score value may be a preset second mapping relationship, and may also be obtained by counting historical data.
For another example, the quality scoring operation may specifically include:
the method comprises the steps of carrying out voice recognition on an audio segment to obtain first text information corresponding to the audio segment, extracting a video segment corresponding to the audio segment, carrying out character recognition on the video segment to obtain second text information, comparing the first text information with the second text information to determine the similarity between the first text information and the second text information, wherein the similarity is the score of the audio segment.
The voice recognition mode can adopt a Baidu voice and science news flying voice recognition algorithm, and the character recognition mode can also adopt the existing recognition mode.
Referring to fig. 3, fig. 3 provides a lesson quality feedback system for internet education, the system including:
the acquisition unit is used for acquiring a class video;
the processing unit is used for analyzing the lesson-taking video to determine the ages of the lesson-taking students; when the age is determined to be minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine audio data of students; extracting a time domain oscillogram of the audio data of the student, and determining continuous audio data as the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
The processing unit may also perform an alternative or refinement of the embodiment shown in fig. 2, which is not described in detail here.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. A class quality feedback method for internet education, applied to an electronic device, comprising the steps of:
the electronic equipment collects a lesson-taking video and analyzes the lesson-taking video to determine the ages of the lesson-taking students;
when the electronic equipment determines that the age belongs to a minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine the audio data of the student;
the electronic equipment extracts a time domain oscillogram of the student audio data, and determines continuous audio data into the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
2. The method of claim 1, further comprising:
the quality grade is fed back to parents of minors.
3. The method according to claim 1, wherein the electronic device extracting the time domain oscillogram of the student audio data specifically comprises:
the electronic equipment acquires the volume value and the corresponding time of the audio of the video in class and establishes a time domain oscillogram of the volume and the time.
4. The method according to claim 1, wherein the quality scoring operation specifically comprises:
the method comprises the steps of carrying out voice recognition on an audio segment to obtain first text information corresponding to the audio segment, extracting a video segment corresponding to the audio segment, carrying out character recognition on the video segment to obtain second text information, comparing the first text information with the second text information to determine the similarity between the first text information and the second text information, wherein the similarity is the score of the audio segment.
5. An internet education class quality feedback system, comprising:
the acquisition unit is used for acquiring a class video;
the processing unit is used for analyzing the lesson-taking video to determine the ages of the lesson-taking students; when the age is determined to be minor, identifying the content of the video in class to determine whether the video is a spoken language course, if the video is determined to be the spoken language course, extracting corresponding audio data from the video in class, and analyzing the audio data to determine audio data of students; extracting a time domain oscillogram of the audio data of the student, and determining continuous audio data as the same audio segment according to the time domain oscillogram to obtain a plurality of audio segments; and performing quality scoring operation on each audio segment to obtain the score of each audio segment, and extracting the average value of the scores of the plurality of audio segments to obtain the quality grade of the student in class.
6. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method as provided in any one of claims 1-4.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116523371A (en) * | 2023-03-23 | 2023-08-01 | 华南师范大学 | Teaching language specification level analysis method, system, device and medium |
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